Background
The Problem: The environmental impact of drivers searching for parking is considerable - 30% of all cars on the street in large cities are looking for parking
The Solution: Monitor parking locations in dense, congested areas to provide users real-time parking availability, and provide other options when parking is unavailable.
The Tech Behind Our Solution
We've built and implemented IoT devices that use computer vision and machine learning to identify if a car is present, then alerts users where spaces are available via our mobile application
Amazon Web Services provides our IoT management, database, computation, and mobile application platform
Beneficiaries of Our Project
Communities
- Positive environmental impact, decreased congestion, predictable use of paid spaces
- Data and statistical analysis on traffic and parking patterns
Users
- Provides a real-time snapshot of localized parking spots
- Saves time and fuel when locating parking
Partners
- Increase use of maps application
- Localization of users for targeted marketing
- An integration tool between navigation and social networking applications
Value Proposition of System - Our IoT System Scales
Our plan is to provide the system to communities and the application to users without charge - the data has a huge potential value
Our sensors are inexpensive to build
Sensors installed require no infrastructure work
Very little maintenance - over a 4 month test period, while collecting 75 thousand pictures no maintenance has been required
All applications are implemented with AWS
Implementation
We've built it
Tested it
And it works
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